executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
aria-intention-rewardReduce policy gradient variance in language agent training by aggregating rewards in semantic intention space, enabling 9.95% average performance gains across downstream tasks without exponential action space explosion.
Independent GitHub snapshot · Automated classification · Original documentation governs